Flow-control within a high-performance, scalable and drop-free data center switch fabric

ABSTRACT

A high-performance, scalable and drop-free data center switch fabric and infrastructure is described. The data center switch fabric may leverage low cost, off-the-shelf packet-based switching components (e.g., IP over Ethernet (IPoE)) and overlay forwarding technologies rather than proprietary switch fabric. In one example, host network accelerators (HNAs) are positioned between servers (e.g., virtual machines or dedicated servers) of the data center and an IPoE core network that provides point-to-point connectivity between the servers. The HNAs are hardware devices that embed virtual routers on one or more integrated circuits, where the virtual router are configured to extend the one or more virtual networks to the virtual machines and to seamlessly transport packets over the switch fabric using an overlay network. In other words, the HNAs provide hardware-based, seamless access interfaces to overlay technologies used for communicating packet flows through the core switching network of the data center.

This application claims the benefit of U.S. Provisional Application No. 61/973,045, filed Mar. 31, 2014, the entire contents of which is incorporated herein by reference.

TECHNICAL FIELD

The invention relates to computer networks and, more particularly, to data centers that provide virtual networks.

BACKGROUND

In a typical cloud-based data center, a large collection of interconnected servers provides computing and/or storage capacity for execution of various applications. For example, a data center may comprise a facility that hosts applications and services for subscribers, i.e., customers of data center. The data center may, for example, host all of the infrastructure equipment, such as networking and storage systems, redundant power supplies, and environmental controls. In most data centers, clusters of storage systems and application servers are interconnected via high-speed switch fabric provided by one or more tiers of physical network switches and routers. More sophisticated data centers provide infrastructure spread throughout the world with subscriber support equipment located in various physical hosting facilities.

Data centers tend to utilize either propriety switch fabric with proprietary communication techniques or off-the-shelf switching components that switch packets conforming to conventional packet-based communication protocols. Proprietary switch fabric can provide high performance, but can sometimes be more costly and, in some cases, may provide a single point of failure for the network. Off-the-shelf packet-based switching components may be less expensive, but can result in lossy, non-deterministic behavior.

SUMMARY

In general, this disclosure describes a high-performance, scalable and drop-free data center switch fabric and infrastructure. The data center switch fabric may leverage low cost, off-the-shelf packet-based switching components (e.g., IP over Ethernet (IPoE)) and overlay forwarding technologies rather than proprietary switch fabric.

In one example, host network accelerators (HNAs) are positioned between servers (e.g., virtual machines or dedicated servers) of the data center and an IPoE core network that provides point-to-point connectivity between the servers. The HNAs are hardware devices that embed virtual routers on one or more integrated circuits, where the virtual router are configured to extend the one or more virtual networks to the virtual machines and to seamlessly transport packets over the switch fabric using an overlay network. In other words, the HNAs provide hardware-based, seamless access interfaces to overlay technologies used for communicating packet flows through the core switching network of the data center.

Moreover, the HNAs incorporate and implement flow control, scheduling, and Quality of Service (QoS) features in the integrated circuits so as to provide a high-performance, scalable and drop-free data center switch fabric based on non-proprietary packet-based switching protocols (e.g., IP over Ethernet) and overlay forwarding technologies, that is, without requiring a proprietary switch fabric.

As such, the techniques described herein may provide for a multipoint-to-multipoint, drop-free, and scalable physical network extended to virtual routers of HNAs operating at the edges of an underlying physical network of a data center. As a result, servers or virtual machines hosting user applications for various tenants experience high-speed and reliable layer 3 forwarding while leveraging low cost, industry-standard forwarding technologies without requiring proprietary switch fabric.

The details of one or more embodiments of the invention are set forth in the accompanying drawings and the description below. Other features, objects, and advantages of the invention will be apparent from the description and drawings, and from the claims.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a block diagram illustrating an example network having a data center in which examples of the techniques described herein may be implemented.

FIG. 2A is a block diagram illustrating an example implementation in which host network accelerators are deployed within servers of the data center.

FIG. 2B is a block diagram illustrating an example implementation in which host network accelerators are deployed within top-of-rack switches (TORs) of the data center.

FIG. 3A is a block diagram illustrating in further detail an example implementation of a server having one or more peripheral component interconnect express (PCIe)-based host network accelerators.

FIG. 3B is a block diagram illustrating in further detail an example implementation of a TOR having one or more PCIe-based host network accelerators.

FIG. 4 is a block diagram illustrating further details of a computing device having a PCIe-based host network accelerator.

FIG. 5 is a block diagram illustrating, in detail, an example tunnel packet that may be processed by a computing device according to techniques described in this disclosure.

FIG. 6 is a block diagram illustrating, in detail, an example packet structure that may be used host network accelerators for maintaining pairwise “heart beat” messages for exchanging updated flow control information in the event tunnel packets are not currently being exchanged through the overlay network for a given source/destination HNA pair.

FIG. 7 is a block diagram illustrating a conceptual diagram of host network accelerators (HNAs) interconnected by a switch fabric in a mesh topology for scalable, drop-free, end-to-end communications between HNAs in accordance with techniques described herein.

FIG. 8 is a block diagram illustrating a system in which host network accelerators (HNAs) interconnect by a switch fabric in a mesh topology for scalable, drop-free, end-to-end communications between HNAs in accordance with techniques described herein.

FIG. 9 is a block diagram illustrating data structures for host network accelerators, according to techniques described in this disclosure.

FIGS. 10A-10B are block diagram illustrating example flow control messages exchanged between HNAs according to techniques described in this disclosure.

FIG. 11 is a flowchart of an example mode of operation by host network accelerators to perform flow control according to techniques described in this disclosure.

FIGS. 12A-12B are block diagrams illustrating an example system in which host network accelerators apply flow control according to techniques described herein.

FIG. 13 is a flowchart illustrating an example mode of operation for a host network accelerator to perform flow control according to techniques described in this disclosure.

Like reference characters denote like elements throughout the figures and text.

DETAILED DESCRIPTION

FIG. 1 is a block diagram illustrating an example network 8 having a data center 10 in which examples of the techniques described herein may be implemented. In general, data center 10 provides an operating environment for applications and services for customers 11 coupled to the data center by service provider network 7. Data center 10 may, for example, host infrastructure equipment, such as networking and storage systems, redundant power supplies, and environmental controls. Service provider network 7 may be coupled to one or more networks administered by other providers, and may thus form part of a large-scale public network infrastructure, e.g., the Internet.

In some examples, data center 10 may represent one of many geographically distributed network data centers. As illustrated in the example of FIG. 1, data center 10 may be a facility that provides network services for customers 11. Customers 11 may be collective entities such as enterprises and governments or individuals. For example, a network data center may host web services for several enterprises and end users. Other exemplary services may include data storage, virtual private networks, traffic engineering, file service, data mining, scientific- or super-computing, and so on. In some embodiments, data center 10 may be individual network servers, network peers, or otherwise.

In this example, data center 10 includes a set of storage systems and application servers 12A-12X (herein, “servers 12”) interconnected via high-speed switch fabric 14 provided by one or more tiers of physical network switches and routers. Servers 12 provide execution and storage environments for applications and data associated with customers 11 and may be physical servers, virtual machines or combinations thereof.

In general, switch fabric 14 represents layer two (L2) and layer three (L3) switching and routing components that provide point-to-point connectivity between servers 12. In one example, switch fabric 14 comprises a set of interconnected, high-performance yet off-the-shelf packet-based routers and switches that implement industry standard protocols. In one example, switch fabric 14 may comprise off-the-shelf components that provide Internet Protocol (IP) over an Ethernet (IPoE) point-to-point connectivity.

In FIG. 1, software-defined networking (SDN) controller 22 provides a high-level controller for configuring and managing routing and switching infrastructure of data center 10. SDN controller 22 provides a logically and in some cases physically centralized controller for facilitating operation of one or more virtual networks within data center 10 in accordance with one or more embodiments of this disclosure. In some examples, SDN controller 22 may operate in response to configuration input received from network administrator 24. Additional information regarding virtual network controller 22 operating in conjunction with other devices of data center 10 or other software-defined network is found in International Application Number PCT/US2013/044378, filed Jun. 5, 2013, and entitled PHYSICAL PATH DETERMINATION FOR VIRTUAL NETWORK PACKET FLOWS, which is incorporated by reference as if fully set forth herein.

Although not shown, data center 10 may also include, for example, one or more non-edge switches, routers, hubs, gateways, security devices such as firewalls, intrusion detection, and/or intrusion prevention devices, servers, computer terminals, laptops, printers, databases, wireless mobile devices such as cellular phones or personal digital assistants, wireless access points, bridges, cable modems, application accelerators, or other network devices.

In general, network traffic within switch fabric 14, such as packet flows between servers 12, can traverse the physical network of the switch fabric using many different physical paths. For example, a “packet flow” can be defined by the five values used in a header of a packet, or “five-tuple,” i.e., a source IP address, destination IP address, source port and destination port that are used to route packets through the physical network and a communication protocol. For example, the protocol specifies the communications protocol, such as TCP or UDP, and Source port and Destination port refer to source and destination ports of the connection. A set of one or more packet data units (PDUs) that match a particular flow entry represent a flow. Flows may be broadly classified using any parameter of a PDU, such as source and destination data link (e.g., MAC) and network (e.g., IP) addresses, a Virtual Local Area Network (VLAN) tag, transport layer information, a Multiprotocol Label Switching (MPLS) or Generalized MPLS (GMPLS) label, and an ingress port of a network device receiving the flow. For example, a flow may be all PDUs transmitted in a Transmission Control Protocol (TCP) connection, all PDUs sourced by a particular MAC address or IP address, all PDUs having the same VLAN tag, or all PDUs received at the same switch port.

In accordance with various aspects of the techniques described in this disclosure, data center 10 includes host network accelerators (HNAs) positioned between servers 12 and switch fabric 14. As shown in FIG. 1, each HNA may be positioned between one or more servers 12 and switch fabric 14 that provides infrastructure for transporting packet flows between servers 12. As further described herein, HNAs 17 provide a hardware-based acceleration for seamlessly implementing an overlay network across switch fabric 14. That is, HNAs 17 implement functionality for implementing an overlay network for establishing and supporting of virtual networks within data center 10.

As further described, each HNA 17 implements a virtual router that executes multiple routing instances for corresponding virtual networks within data center 10. Packets sourced by servers 12 and conforming to the virtual networks are received by HNAs 17 and automatically encapsulated to form tunnel packets for traversing switch fabric 14. Each tunnel packet may each include an outer header and a payload containing an inner packet. The outer headers of the tunnel packets allow the physical network components of switch fabric 14 to “tunnel” the inner packets to physical network addresses for network interfaces 19 of HNAs 17. The outer header may include not only the physical network address of the network interface 19 of the server 12 to which the tunnel packet is destined, but also a virtual network identifier, such as a VxLAN tag or Multiprotocol Label Switching (MPLS) label, that identifies one of the virtual networks as well as the corresponding routing instance executed by the virtual router. An inner packet includes an inner header having a destination network address that conform to the virtual network addressing space for the virtual network identified by the virtual network identifier. As such, HNAs 17 provide hardware-based, seamless access interfaces for overlay technologies for tunneling packet flows through the core switching network 14 of data center 10 in a way that is transparent to servers 12.

As described herein, HNAs 17 integrate a number of mechanisms, such as flow control, scheduling & quality of service (QoS), with the virtual routing operations for seamlessly proving overlay networking across switch fabric 14. In this way, HNAs 17 are able to provide a high-performance, scalable and drop-free data interconnect that leverages low cost, industry-standard forwarding technologies without requiring proprietary switch fabric.

FIG. 2A is a block diagram illustrating an example implementation in which host network accelerators (HNAs) 17 are deployed within servers 12 of data center 10. In this simplified example, switch fabric 14 is provided by a set of interconnected top-of-rack (TOR) switches 16A-16BN (collectively, “TOR switches 16”) coupled to a distribution layer of chassis switches 18A-18M (collectively, “chassis switches 18”). TOR switches 16 and chassis switches 18 provide servers 12 with redundant (multi-homed) connectivity. TOR switches 16 may be network devices that provide layer 2 (MAC) and/or layer 3 (e.g., IP) routing and/or switching functionality. Chassis switches 18 aggregate traffic flows and provide high-speed connectivity between TOR switches 16. Chassis switches 18 are coupled to IP layer three (L3) network 20, which performs L3 routing to route network traffic between data center 10 and customers 11 by service provider network 7.

In this example implementation, HNAs 17 are deployed as specialized cards within chassis of servers 12. In one example, HNAs 17 include core-facing network interfaces 19 for communicating with TOR switches 16 by, for example, Ethernet or other physical network links 25A-25N. In addition, HNAs 17 include high-speed peripheral interfaces 23A-23N so as to be operable directly on input/output (I/O) busses 21 of servers 12. HNAs 17 may, for example, appear as network interfaces cards (NICs) to servers 12 and, therefore, provide robust tunneling of packet flow as described herein in a manner that may be transparent to the servers 12. In one example, high-speed peripheral interfaces 23 comprise peripheral component interconnect express (PCIe) interfaces for insertion as expansion cards within respective chassis of servers 12 and coupling directly to PCIe busses 21 of servers 12.

FIG. 2B is a block diagram illustrating an example implementation in which host network accelerators (HNAs) 17 are deployed within top-of-rack switches (TORs) of data center 10. As in the example of FIG. 2A, switch fabric 14 is provided by a set of interconnected TOR switches 16 coupled to a distribution layer of chassis switches 18. In this example, however, HNAs 17 are integrated within TOR switches 16 and similarly provide robust tunneling of packet flows between servers 12 in a manner that is transparent to the servers 12.

In this example, each of HNAs 17 provide a core-facing network interface 19 for communicating packets across switch fabric 14 of data center 10. In addition, HNAs 21 may provide a high-speed PCIe interface 23 for communication with servers 12 as extensions to PCIe busses 21. Alternatively, HNAs 17 may communicate with network interfaces cards (NICs) of servers 12 via Ethernet or other network links. Although shown separately, the examples of FIGS. 2A and 2B may be used in various combinations such that HNAs 17 may be integrated within servers 12, TORs 16, other devices within data center 10, or combinations thereof.

FIG. 3A is a block diagram illustrating in further detail an example implementation of a server 50 having one or more PCIe-based host network accelerators 60A, 60B. In this example, server 50 includes two sets of computing blades 52A, 52B (collectively, “computing blades 52) interconnected by respective PCIe busses 56A, 56B.

Computing blades 52 may each provide a computing environment for execution of applications and services. For example, each of computing blades 52 may comprise a computing platform having one or more processor, memory, disk storage and other components that provide an operating environment for an operating system and, in some case, a hypervisor providing a virtual environment for one or more virtual machines.

In this example, each of computing blades 52 comprises PCIe interfaces for coupling to one of PCIe busses 56. Moreover, each of computing blades 52 may be a removable card insertable within a slot of a chassis of server 50.

Each of HNAs 60 similarly includes PCIe interfaces for coupling to one of PCIe busses 56. As such, memory and resources within HNAs 60 are addressable via read and write requests from computing blades 52 via the PCIe packet-based protocol. In this way, applications executing on computing blades 52, including applications executing on virtual machines provided by computing blades 52, may transmit and receive data to respective HNAs 60A, 60B at a high rate over a direct I/O interconnect provided by PCIe busses 56.

HNAs 60 include core-facing network interfaces for communicating L2/L3 packet based networks, such as switch fabric 14 of data center 10. As such, computing blades 52 may interact with HNAs 60 as if the HNAs were PCIe-based network interface cards. Moreover, HNAs 60 implement functionality for implementing an overlay network for establishing and supporting of virtual networks within data center 10, and provide additional functions for ensuring robust, drop-free communications through the L2/L3 network.

FIG. 3B is a block diagram illustrating in further detail an example implementation of a TOR switch 70 having one or more PCIe-based host network accelerators 74A-74N (collectively, “HNAs 74”). In this example, TOR switch 70 includes a plurality of HNAs 74 integrated within the TOR switch. HNAs 74 are interconnected by high-speed forwarding ASICs 72 for switching packets between network interfaces of the HNAs and L2/L3 network 14 via core-facing Ethernet port 80.

As shown, each of servers 76A-76N is coupled to TOR switch 70 by way of PCIe interfaces. As such, memory and resources within HNAs 74 are addressable via read and write requests from servers 76 via the PCIe packet-based protocol. In this way, applications executing on computing blades 52, including applications executing on virtual machines provided by computing blades 52, may transmit and receive data to respective HNAs 74 at a high rate over a direct I/O interconnect provided by PCIe busses. Each of servers 76 may be standalone computing devices or may be separate rack-mounted servers within a rack of servers.

FIG. 4 is a block diagram illustrating example details of a computing device 100 having a PCIe-based host network accelerator (HNA) 111. Computing device 100 may, for example, represent one of a server (e.g., servers 12 of FIG. 2A or server 50 of FIG. 3A) or a TOR switch (e.g., TOR switches 16 of FIG. 2B or TOR switch 70 of FIG. 3B) integrating a PCIe-based HNA 111.

In this example, computing device 100 includes a system bus 142 coupling hardware components of a computing device 100 hardware environment. System bus 142 couples multi-core computing environment 102 having a plurality of processing cores 108A-108J (collectively, “processing cores 108”) to memory 144 and input/output (I/O) controller 143. I/O controller 143 provides access to storage disk 107 and HNA 111 via PCIe bus 146.

Multi-core computing environment 102 may include any number of processors and any number of hardware cores from, for example, four to thousands. Each of processing cores 108 each includes an independent execution unit to perform instructions that conform to an instruction set architecture for the core. Processing cores 108 may each be implemented as separate integrated circuits (ICs) or may be combined within one or more multi-core processors (or “many-core” processors) that are each implemented using a single IC (i.e., a chip multiprocessor).

Disk 107 represents computer readable storage media that includes volatile and/or non-volatile, removable and/or non-removable media implemented in any method or technology for storage of information such as processor-readable instructions, data structures, program modules, or other data. Computer readable storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), EEPROM, flash memory, CD-ROM, digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by cores 108.

Main memory 144 includes one or more computer-readable storage media, which may include random-access memory (RAM) such as various forms of dynamic RAM (DRAM), e.g., DDR2/DDR3 SDRAM, or static RAM (SRAM), flash memory, or any other form of fixed or removable storage medium that can be used to carry or store desired program code and program data in the form of instructions or data structures and that can be accessed by a computer. Main memory 144 provides a physical address space composed of addressable memory locations.

Memory 144 may in some examples present a non-uniform memory access (NUMA) architecture to multi-core computing environment 102. That is, cores 108 may not have equal memory access time to the various storage media that constitute memory 144. Cores 108 may be configured in some instances to use the portions of memory 144 that offer the lowest memory latency for the cores to reduce overall memory latency.

In some instances, a physical address space for a computer-readable storage medium may be shared among one or more cores 108 (i.e., a shared memory). For example, cores 108A, 108B may be connected via a memory bus (not shown) to one or more DRAM packages, modules, and/or chips (also not shown) that present a physical address space accessible by cores 108A, 108B. While this physical address space may offer the lowest memory access time to cores 108A, 108B of any of portions of memory 144, at least some of the remaining portions of memory 144 may be directly accessible to cores 108A, 108B. One or more of cores 108 may also include an L1/L2/L3 cache or a combination thereof. The respective caches for cores 108 offer the lowest-latency memory access of any of storage media for the cores 108.

Memory 144, network interface cards (NICs) 106A-106B (collectively, “NICs 106”), storage disk 107, and multi-core computing environment 102 provide an operating environment for one or more virtual machines 110A-110K (collectively, “virtual machines 110”). Virtual machines 110 may represent example instances of any of virtual machines 36 of FIG. 2. Computing device 100 may partitions the virtual and/or physical address space provided by main memory 144 and, in the case of virtual memory, by disk 107 into user space, allocated for running user processes, and kernel space, which is protected and generally inaccessible by user processes. An operating system kernel (not shown in FIG. 4) may execute in kernel space and may include, for example, a Linux, Berkeley Software Distribution (BSD), another Unix-variant kernel, or a Windows server operating system kernel, available from Microsoft Corp. Computing device 100 may in some instances execute a hypervisor to manage virtual machines 110 (also not shown in FIG. 3). Example hypervisors include Kernel-based Virtual Machine (KVM) for the Linux kernel, Xen, ESXi available from VMware, Windows Hyper-V available from Microsoft, and other open-source and proprietary hypervisors.

As shown in FIG. 4, HNA 111 includes PCIe interface 145 that connects to PCIe bus 146 of computing device 100 as any other PCIe-based device. PCIe interface 145 may provide a physical layer, data link layer and a transaction layer for supporting PCIe-based communications with any of cores 108 and virtual machines 110 executing thereon. As such, PCIe interface 145 is responsive to read/write requests from virtual machines 110 for sending and/or receiving packet data 139 in accordance with the PCIe protocol. As one example, PCIe interface conforms to PCI Express Base 3.0 Specification, PCI Special Interest Group (PCI-SIG), November 2012, the entire content of which is incorporated herein by reference.

Virtual router 128 includes multiple routing instances 122A-122C (collectively, “routing instances 122”) for corresponding virtual networks. In general, virtual router executing on HNA 111 is configurable by virtual network controller 22 and provides functionality for tunneling packets over physical L2/L3 switch fabric 10 via an overlay network. In this way, HNA 111 provides a PCIe-based component that may be inserted into computing device 100 as a self-contained, removable host network accelerator that seamlessly support forwarding of packets associated with multiple virtual networks through data center 10 using overlay networking technologies without requiring any other modification of that computing device 100 or installation of software thereon. Outbound packets sourced by virtual machines 110 and conforming to the virtual networks are received by virtual router 128 via PCIe interface 144 and automatically encapsulated to form outbound tunnel packets for traversing switch fabric 14. Each tunnel packet may each include an outer header and a payload containing the original packet. With respect to FIG. 1, the outer headers of the tunnel packets allow the physical network components of switch fabric 14 to “tunnel” the inner packets to physical network addresses of other HNAs 17. As such, virtual router 128 of HNA 111 provides hardware-based, seamless access interfaces for overlay technologies for tunneling packet flows through the core switching network 14 of data center 10 in a way that is transparent to servers 12.

Each of routing instances 122 includes a corresponding one of forwarding information bases (FIBs) 124A-124C (collectively, “FIBs 124”) and flow tables 126A-126C (collectively, “flow tables 126”). Although illustrated as separate data structures, flow tables 126 may in some instances be logical tables implemented as a single table or other associative data structure in which entries for respective flow tables 126 are identifiable by the virtual network identifier (e.g., a VRF identifier such as VxLAN tag or MPLS label)). FIBs 124 include lookup tables that map destination addresses to destination next hops. The destination addresses may include layer 3 network prefixes or layer 2 MAC addresses. Flow tables 126 enable application of forwarding policies to flows. Each of flow tables 126 includes flow table entries that each match one or more flows that may traverse virtual router forwarding plane 128 and include a forwarding policy for application to matching flows. For example, virtual router 128 attempts to match packets processed by routing instance 122A to one of the flow table entries of flow table 126A. If a matching flow table entry exists for a given packet, virtual router 128 applies the flow actions specified in a policy to the packet. This may be referred to as “fast-path” packet processing. If a matching flow table entry does not exist for the packet, the packet may represent an initial packet for a new packet flow and virtual router forwarding plane 128 may request virtual router agent 104 to install a flow table entry in the flow table for the new packet flow. This may be referred to as “slow-path” packet processing for initial packets of packet flows.

In this example, virtual router agent 104 may be a process executed by a processor of HNA 111 or may be embedded within firmware or discrete hardware of HNA 111. Virtual router agent 104 includes configuration data 134, virtual routing and forwarding instances configurations 136 (“VRFs 136”), and policy table 138 (“policies 138”).

In some cases, virtual router agent 104 communicates with a centralized controller (e.g., controller 22 for data center 10 as shown in FIG. 1) to exchange control information for virtual networks to be supported by HNA 111. Control information may include, virtual network routes, low-level configuration state such as routing instances and forwarding policy for installation to configuration data 134, VRFs 136, and policies 138. Virtual router agent 104 may also report analytics state, install forwarding state to FIBs 124 of virtual router 128, discover VMs 110 and attributes thereof. As noted above, virtual router agent 104 further applies slow-path packet processing for the first (initial) packet of each new flow traversing virtual router forwarding plane 128 and installs corresponding flow entries to flow tables 126 for the new flows for fast path processing by virtual router forwarding plane 128 for subsequent packets of the flows.

As shown in FIG. 4, HNA 111 includes an embedded communications controller 147 positioned between virtual router 128 and network interface 106 for exchanging packets using links of an underlying physical network, such as L2/L3 switch fabric 14 (FIG. 1). As described herein, communication controller 147 provides mechanisms that allow overlay forwarding functionality provided by virtual router 104 to be utilized with off-the-shelf, packet-based L2/L3 networking components yet provide a high-performance, scalable and drop-free data center switch fabric based on IP over Ethernet & overlay forwarding technologies without requiring proprietary switch fabric.

In this example, communications controller 147 embedded within HNA includes scheduler 148 and flow control unit 149. As described herein, scheduler 148 manages one or more outbound queues 151 for pairwise, point-to-point communications with each HNA reachable via network interface 106. For example, with respect to FIG. 1, scheduler 148 manages one or more outbound queues 151 for point-to-point communications with other HNAs 17 within data center 10 and reachable via L2/L3 switch fabric 14. In one example, scheduler 148 maintains eight (8) outbound queues 151 for supporting eight (8) concurrent communication streams for each HNA 12 discovered or otherwise identified within data center 10. Each of outbound queues 151 for communicating with a respective HNA with data center 10 may be associated with a different priority level. Scheduler 148 schedules communication to each HNA as a function of the priorities for any outbound communications from virtual router 128, the available bandwidth of network interface 106, an indication of available bandwidth and resources at the destination HNAs as reported by flow control unit 149.

In general, flow control unit 149 communicates with flow control units of other HNAs within the network, such as other HNAs 17 within data center 10, to provide congestion control for tunnel communications using the overlay network established by virtual router 128. As described herein, flow control units 149 of each source/destination pair of HNAs utilize flow control information to provide robust, drop-free communications through L2/L3 switch fabric 14.

For example, as further described below, each source/destination pair of HNAs periodically exchange information as to an amount of packet data currently pending for transmission by the source and an amount of bandwidth resources currently available at the destination. In other words, flow control unit 149 of each HNA 111 communicates to the each other flow control unit 149 of each other HNAs 111 an amount of packet data currently pending within outbound queues 151 to be sent to that HNA, i.e., the amount of packet data for outbound tunnel packets constructed by one or more of routing instances 122 and destined for that HNAs. Similarly, each flow control unit 149 of each HNA communicates to each other flow control units 149 of each other HNAs 111 an amount of available memory resources within memory 153 for receiving packet data from that HNA. In this way, pair-wise flow control information is periodically exchanged and maintained for each source/destination pair of HNAs 111, such as for each source/destination pair-wise combinations of HNAs 17 of data center 10. Moreover, the flow control information for each HNA source/destination pair may specify the amount of data to be sent and the amount of bandwidth available on a per-output queue granularity. In other words, in the example where scheduler 148 for each HNA 111 maintains eight (8) output queues 151 for supporting eight (8) concurrent communication streams to each other HNA within data center 10, flow control unit 149 may maintain flow control information for each of the output queues for each source/destination pairwise combination with the other HNAs.

Scheduler 148 selectively transmits outbound tunnel packets from outbound queues 151 based on priorities associated with the outbound queues, the available bandwidth of network interface 106, and the available bandwidth and resources at the destination HNAs as reported by flow control unit 149.

In one example, flow control unit 149 modifies outbound tunnel packets output by virtual router 128 to embed flow control information. For example, flow control unit 149 may modify an outer header of each outbound tunnel packet to insert flow control information specific to the destination HNA for which the tunnel packet is destined. The flow control information inserted within the tunnel packet may inform the destination HNA an amount of data pending in one or more outbound queues 151 that destined for the destination HNA (i.e., one or more queue lengths) and/or an amount of space available in memory 153 for receiving data from the HNA to which the outbound tunnel packet is destined. In some example embodiments, the flow control information inserted within the tunnel packet specifies one or more maximum transmission rates (e.g., maximum transmission rates per priority) at which the HNA to which the tunnel packet is destined is permitted to send data to HNA 111.

In this way, exchange of flow control information between pairwise HNA combinations need not utilize separate messages which would otherwise consume additional bandwidth within switch fabric 14 of data center 10. In some implementations, flow control unit 149 of HNA 111 may output “heartbeat” messages to carry flow control information to HNAs within the data center (e.g., HNAs 12 of data center 10) as needed in situations where no output tunnel packets or insufficient data amounts (e.g., <4 KB) have been sent to those HNAs for a threshold period of time. In this way, the heartbeat messages may be used as needed to ensure that currently flow control information is available at all HNAs with respect to each source/destination pair-wise HNA combination. In one example, the heartbeat messages are constructed and scheduled to be sent at a frequency such that the heartbeat messages consume no more than 1% of the total point-to-point bandwidth provided by switch fabric 14 even in situations where no tunnel packets are currently being used.

In some embodiments, flow control unit 149 may modify an outer header of each outbound tunnel packet to insert sequence numbers specific to the destination HNA for which the tunnel packet is destined and to the priority level of the outbound queue 151 from which the tunnel packet is being sent. Upon receiving inbound tunnel packets, flow control unit 149 may reorder the packets and request retransmission for any missing tunnel packets for a given priority, i.e., associated with one of outbound queues 151, as determined based on the sequence number embedded within the tunnel header by the sending HNA and upon expiry of a timer set to wait for the missing tunnel packets. Furthermore, flow control unit 149 may maintain separate sequence numbers spaces for each priority. In this way, flow control units 149 of HNAs 17, for example, may establish and maintain robust packet flows between each other even though virtual routers 128 may utilize overlay forwarding techniques over off-the-shelf L2/L3 routing and switching components of switch fabric 14.

FIG. 5 is a block diagram illustrating, in detail, an example tunnel packet that may be processed host network accelerators according to techniques described in this disclosure. For simplicity and ease of illustration, tunnel packet 155 does not illustrate each and every field of a typical tunnel packet but is offered to highlight the techniques described herein. In addition, various implementations may include tunnel packet fields in various orderings.

In this example, “outer” or “tunnel” packet 155 includes outer header 156 and inner or “encapsulated” packet 157. Outer header 156 may include protocol or type-of-service (TOS) field 162 and public (i.e., switchable by the underling physical network for a virtual network associated with inner packet 157) IP address information in the form of source IP address field 164 and destination IP address field 166. A TOS field may define a priority for packet handling by devices of switch fabric 14 and HNAs as described herein. Protocol field 162 in this example indicates tunnel packet 155 uses GRE tunnel encapsulation, but other forms of tunnel encapsulation may be used in other cases, including IPinIP, NVGRE, VxLAN, and MPLS over MPLS, for instance.

Outer header 156 also includes tunnel encapsulation 159, which in this example includes GRE protocol field 170 to specify the GRE protocol (here, MPLS) and MPLS label field 172 to specify the MPLS label value (here, 214). The MPLS label field is an example of a virtual network identifier and may be associated in a virtual router (e.g., virtual router 128 of computing device 100 of FIG. 4) with a routing instance for a virtual network.

Inner packet 157 includes inner header 158 and payload 184. Inner header 158 may include protocol or type-of-service (TOS) field 174 as well as private (i.e., for a particular virtual routing and forwarding instance) IP address information in the form of source IP address field 176 and destination IP address field 178, along with transport layer information in the form of source port field 180 and destination port field 182. Payload 184 may include application layer (layer 7 (L7)) and in some cases other L4-L7 information produced by or for consumption by a virtual machine for the virtual network. Payload 184 may include and thus alternatively be referred to as an “L4 packet,” “UDP packet,” or “TCP packet.”

In accordance with techniques described in this disclosure, when forwarding tunnel packet 155 as generated by a virtual router (e.g., virtual router 128), the host network accelerator may modify outer header 156 to include flow control information 185 that is specific to the HNA for which the tunnel packet is destined. In this example, flow control information 185 may include a first field 186 indicating to the receiving host network accelerator an amount of data pending in one or more outbound queues 151 used to store outbound tunnel packets destined for the destination HNA. For example, in the case where the HNAs support eight priority levels, and therefore eight outbound queues for each HNA within the data center, field 186 may specify the current amount of data within each of the eight outbound queues associated with the HNA to which tunnel packet 155 is destined.

In addition, flow control 185 includes a second field 187 indicating a transmission rate (e.g., bytes per second) at which the HNA to which tunnel packet 155 is destined is permitted to send data to the HNA sending tunnel packet 155. Further, flow control information 185 includes a third field 188 within which the sending HNA specifies a timestamp for a current time at which the HNA outputs tunnel packet 155. As such, the timestamp of tunnel packet 155 provides an indication to the receiving HNA as to how current or stale is flow control information 185.

For reordering of packets to facilitate drop-free packet delivery to outbound (e.g., PCIe) interfaces of the HNAs, outer header 156 illustrates an optional sequence number (“SEQ NO”) field 189 that may include sequence number values for one or more priorities of a source HNA/destination HNA pair, specifically, the source HNA 111 and the destination HNA for tunnel packet 155. Each sequence number included in sequence number field 189 for a priority may be a 2 byte value in some instances. Thus, in instances in which HNAs implement 4 priorities, sequence number field 189 would be an 8 byte field. Upon receiving inbound tunnel packets 155 including a sequence number field 189, flow control unit 149 may reorder the packets 155 and request retransmission for any missing tunnel packets for a given priority, i.e., associated with one of outbound queues 151, as determined based on the corresponding sequence number value of sequence number field 189 embedded within the outer header 156 by the sending HNA and upon expiry of a timer set to wait for the missing tunnel packets. As noted, flow control unit 149 may maintain separate sequence numbers spaces for each priority. In this way, flow control units 149 of HNAs 17, for example, may establish and maintain robust packet flows between each other even though virtual routers 128 may utilize overlay forwarding techniques over off-the-shelf L2/L3 routing and switching components of switch fabric 14.

A host network accelerator 111 may be set up with a large amount of buffer memory, e.g., in memory 153, for receiving packets to permit storing of a long series of packets having missing packets. As a result, HNA 111 may reduce the need to send a retransmission while waiting for missing tunnel packets 155. Memory 153 includes one or more computer-readable storage media, similar to main memory 144.

FIG. 6 is a block diagram illustrating, in detail, an example packet structure that may be used host network accelerators for maintaining pairwise “heart beat” messages for communicating updated flow control information in the event tunnel packets (e.g., FIG. 5) are not currently being exchanged through the overlay network for a given HNA source/destination pair. In this example, heartbeat packet 190 includes an Ethernet header 192 prepended to an IP header 194 followed by a payload 193 containing flow control information 195. As in FIG. 5, flow control information 195 includes a first field 186 indicating a current amount of data in each of the outbound queue associated with the HNA to which packet 190 is destined. In addition, flow control information 195 includes a second field 197 indicating a permitted transmission rate (e.g., bytes per second) and a third field 188 for specifying a timestamp for a current time at which the HNA outputs packet 190.

In one example, the packet structure for the heartbeat packet 190 may conform to the format set out in Table 1:

TABLE 1 Heartbeat Packet Format FIELD SIZE Preamble 7 Bytes Start of Frame 1 Byte SRC and DST MAC Addresses 12 Bytes EtherType 2 Bytes Frame Checksum 2 Bytes IP Header 20 Bytes Queue Lengths 8 Bytes Permitted Rates 8 Bytes Timestamp 4 Bytes In this example, heartbeat packet 190 may be implemented as having a 64 byte total frame size, i.e., an initial 24 byte Ethernet frame header, a 20 byte IP header and a payload of 20 bytes containing the flow control information. Queue Lengths and Permitted Rates are each 8 Byte fields. In this instance, the 8 Bytes are divided evenly among 4 different priorities implemented by the HNAs (again, for this example implementation). As a result, each Queue Length and Permitted Rate per priority is a 16-bit value. Other levels of precision and numbers of priorities are contemplated.

In another example, the packet structure for the heartbeat packet 190 may conform to the format set out in Table 2:

TABLE 2 Heartbeat Packet Format FIELD SIZE Preamble 7 Bytes Start of Frame 1 Byte SRC and DST MAC Addresses 12 Bytes EtherType 2 Bytes Frame Checksum 2 Bytes IP Header 20 Bytes Queue Lengths 8 Bytes Permitted Rates 8 Bytes Timestamp 4 Bytes Sequence Number 8 Bytes In this example, heartbeat packet 190 has a format similar to that presented by Table 1 but further includes an optional 8 byte sequence number (“SEQ NO”) field 199 that includes sequence numbers for the 4 different priorities implemented by the HNAs for this example implementation. Sequence number field 199 has a similar function as sequence number field 189 of tunnel packet 155.

The use by flow control unit 149 of flow control and sequence numbering according to techniques described herein may provide for multipoint-to-multipoint, drop-free, and scalable physical network extended to virtual routers 128 of HNAs operating at the edges of the underlying physical network and extending one or more virtual networks to virtual machines 110. As a result, virtual machines 110 hosting user applications for various tenants experience high-speed and reliable layer 3 forwarding at the virtual network edge as provided by the HNAs implementing virtual routers 128.

FIG. 7 is a block diagram illustrating a conceptual diagram 200 of host network accelerators (HNAs) interconnected by a switch fabric in a mesh topology for scalable, drop-free, end-to-end communications between HNAs in accordance with techniques described herein. As described above, the HNAs implement one or more virtual networks over the physical networks by tunneling layer 3 packets to extend each virtual network to its associated hosts. In the illustrated conceptual diagram, source HNAs 17A_(S)-17N_(S) (collectively, “source HNAs 17 _(S)”) each represent a host network accelerator operating as a source endpoint for the physical network underlying the virtual networks. Destination HNAs 17A_(D)-17N_(D) (collectively, “destination HNAs 17 _(D)”) each represent a same HNA device as a corresponding HNA of source HNAs 17 _(S), but operating as a destination endpoint for the physical network. For example, source HNA 17B_(S) and destination HNA 17B_(D) may represent the same physical HNA device located and operating within a TOR switch or server rack and both potentially sending and receiving IP packets to/from switch fabric 204. However, for modeling and descriptive purposes herein the respective sending and receiving functionality of the single HNA device is broken out into separate elements and reference characters. Source HNAs 17 _(S) may represent any of HNAs 17 of FIGS. 1-2, HNAs 60 of FIG. 3A, HNAs 74 of FIG. 3B, and HNA 111 of FIG. 4.

Source HNAs 17 _(S) and destination HNAs 17 _(D) implement flow control techniques described herein to facilitate scalable and drop-free communication between HNA source/destination pairs. For purposes of description, the flow control techniques are initially formulated with respect to a simplified model that uses a perfect switch fabric 204 (which may represent a “perfect” implementation of switch fabric 14) having infinite internal bandwidth and zero internal latency. Perfect switch fabric 204 operates conceptually as a half-duplex network with N input ports of constant unit 1 bandwidth and N output ports of constant unit 1 bandwidth. The source HNAs 17 _(S) present a set of injection bandwidths I_(i,j), where i indexes the source HNAs 17 _(S) and j indexes the destination HNAs 17 _(D). In this simplified model, I_(i,j) (t) is constant for a given i, j.

Ideally, packets arrive instantaneously from any given one of source HNAs 17 _(S) to any given one of destination queues 206A-206N (collectively, “destination queues 206”) having infinite input bandwidth and a constant unit 1 output bandwidth, in accordance with the simplified model. This simplified model is however in some ways commensurate with example implementations of a data center 10 in which HNAs 17 are allocated significantly more resources for receive buffering of packets than for transmit buffering of packets. The measured bandwidth allocated by a given destination HNA of destination HNAs 17 _(S) associated with a destination queue of destination queues 206 will be proportional to the current amount of data (e.g., number of bytes) in the destination queue from different source HNAs of source HNAs 17 _(S). For instance, the measured bandwidth allocated by a destination HNA 17B_(D) associated with destination queue 206B will be proportional to the number of bytes in the destination queue from different source HNAs of source HNAs 17 _(S). Let q₁, q₂, . . . , q_(N) represent the number of bytes from various source HNAs 17 _(S) represented as S₁, S₂, . . . , S_(N). The rate allocated by the given destination HNA 17B_(D) to source HNA S_(i), in order to achieve the aforementioned proportionality is indicated by the following (again, for the given destination HNA 17B_(D)):

$\begin{matrix} {{{rate}\left( S_{i} \right)} = \frac{q_{i}}{\sum\limits_{i = 1}^{N}q_{i}}} & (1) \end{matrix}$ and thus Σ_(i=1) ^(N)rate(S _(i))=1  (2)

If Σ_(i=1) ^(N) q_(i)=0, then rate (S_(i))=0 and the bandwidth is defined to be 0 for the given destination HNA 17B_(D).

FIG. 8 is a block diagram illustrating a system in which host network accelerators (HNAs) interconnect by a switch fabric in a mesh topology for scalable, drop-free, end-to-end communications between HNAs in accordance with techniques described herein. As described above, the HNAs implement one or more virtual networks over the physical networks by tunneling layer 3 packets to extend each virtual network to its associated hosts. In the illustrated system 210, source HNAs 17A_(S)-17N_(S) (collectively, “source HNAs 17 _(S)”) each represent a host network accelerator operating as a source endpoint for the physical network underlying the virtual networks. Destination HNAs 17A_(D)-17N_(D) (collectively, “destination HNAs 17 _(D)”) each represent a same HNA device as a corresponding HNA of source HNAs 17 _(S), but operating as a destination endpoint for the physical network. For example, source HNA 17B_(S) and destination HNA 17B_(D) may represent the same physical HNA device located and operating within a TOR switch or server rack and both potentially sending and receiving IP packets to/from switch fabric 14. However, for modeling and descriptive purposes herein the respective sending and receiving functionality of the single HNA device is broken out into separate elements and reference characters. Source HNAs 17 _(S) may represent any of HNAs 17 of FIGS. 1-2, HNAs 60 of FIG. 3A, HNAs 74 of FIG. 3B, and HNA 111 of FIG. 4. System 210 may represent data center 10 of FIG. 1, for instance.

Source HNAs 17 _(S) and destination HNAs 17 _(D) implement flow control techniques described herein to facilitate scalable and drop-free communication between HNA source/destination pairs. Unlike “perfect” switch fabric 204 of FIG. 7, switch fabric 14 represents a realistic L2/L3 network as described above, e.g., with respect to FIG. 1. That is, switch fabric 14 has a finite bandwidth and non-zero latencies between HNA source/destination pairs.

System 210 illustrates source HNAs 17A_(S)-17N_(S) having respective outbound queue sets 212A-212N (collectively, “queues 212”) to buffer packets queued for transmission by any of source HNAs 17 _(S) via switch fabric 14 to multiple destination HNAs 17 _(D) for hardware-based virtual routing to standalone and/or virtual hosts as described herein. Each of queues sets 212 may represent example outbound queues 151 of FIG. 4 for a single priority. Queue sets 212 are First-In-First-Out data structures and each queue of one of queue sets 212 has a queue length representing an amount of data, i.e., the number of bytes (or in some implementations a number of packets or other construct), that is enqueued and awaiting transmission by the corresponding source HNA 17 _(S). Although described primarily herein as storing “packets,” each queue of queues sets 212 may store packets, references to packets stored elsewhere to a main memory, or other object or reference that allows for the enqueuing/dequeuing of packets for transmission. Moreover, queue sets 212 may store packets destined for any of destination HNAs 17 _(D). For example, a queue of queue set 212A may store a first packet of size 2000 bytes destined for destination HNA 17A_(D) and a second packet of size 3000 bytes destined for destination HNA 17B_(D). The queue's actual queue length is 5000 bytes, but the measured queue length may be rounded up or down to a power of two to result in a measured queue length (“queue length”) of 2¹²=4096 or 2¹³=8192. “Queue length” may alternatively be referred to elsewhere herein as “queue size.”

An example of queue sets 212A is illustrated in FIG. 9, which illustrates a corresponding queue of source HNA 17A_(S) for each of destinations HNA 17 _(D). Queue 212A₁ is a queue for destination HNA 17A_(D) (which may be the same HNA 17A), queue 212A_(B) is a queue for destination HNA 17B_(D), and so on. Queue set 212A may include many hundreds or even thousands of queues and may be implemented using any suitable data structure, such as a linked list. Returning to FIG. 10, in order to facilitate efficient allocation of the finite bandwidth of switch fabric 14 and drop-free, scalable end-to-end communication between source HNAs 17 _(S)/destination HNAs 17 _(D) pairs, source HNAs 17 _(S) report the queue lengths of respective queue sets 212 to corresponding destination HNAs 17 _(D) to report an amount of data that is to be sent to the destinations. Thus, for instance, source HNA 17A_(S) having queue set 212A may report the queue length of 212A₁ to destination HNA 17A_(D), report the queue length of 212A_(B) to destination HNA 17B_(D), and so on.

FIG. 10A illustrates destination HNAs 17A_(D) receiving corresponding queue lengths in queue length messages 214A_(A)-214N_(A) reported by each of source HNAs 17 _(S). For ease of illustration, only destination HNA 17A_(D) is shown receiving its corresponding queue length messages from source HNAs 17 _(S). Because system 210 is a multipoint-to-multipoint network of HNAs 17, there will be queue length messages issued by each of source HNA 17 _(S) to each of destination HNAs 17 _(D). Let q_(i,j) be the queue length communicated from a source S_(i) of source HNAs 17 _(S) to a destination D_(j) of destination HNAs 17 _(D) for all i,jεN, where N is the number of HNAs 17. Queue length message 214X_(Y) may transport q_(i,j) where X=i and Y=j for all i,jεN.

Destination D_(j) allocates its receive bandwidth among source HNAs 17 _(S) in proportion to the amount of data to be sent by each of source HNAs 17 _(S). For example, destination D_(j) may allocate its receive bandwidth by the queue lengths it receives from each of source HNAs 17 _(S) according to the following formula:

$\begin{matrix} {{r_{i,j} = \frac{q_{i,j}}{\sum\limits_{l = 1}^{N}q_{l,j}}},} & (3) \end{matrix}$ where r_(i,j) is the rate of transmission from a source S_(i) to a destination D_(j), as allocated by the destination D_(j) from its receive bandwidth. It is straightforward to show that Σ_(i=1) ^(N)r_(i,j)=1, unless Σ_(t=1) ^(N)q_(l,j)=0. Each destination D_(j) of destination HNAs 17 _(D) then communicates a representation of r_(i,j) computed for source S_(i) to the corresponding source HNAs 17 _(S). Each of source HNAs 17 _(S) therefore receive computes rates r from each of destinations D_(j) for jεN. FIG. 10B illustrates source HNA 17B_(S) receiving rate messages 216A_(A)-216A_(N) from destination HNAs 17 _(D). For concision and ease of illustration, only rate messages 216A_(A)-216A_(N) to source HNA 17A_(S) are shown. However, because system 210 is a multipoint-to-multipoint network of HNAs 17, there will be rate messages issued by each of destination HNA 17 _(D) to each of source HNAs 17 _(S). Rate message 216X_(Y) may transport r_(i,j) where X=i and Y=j for all i,jεN. Rate messages 216 and queue length messages 214 may each be an example of a heartbeat message 190 or other message exchanged between source and destination HNAs 17 that includes the flow control information 185 described with respect to FIG. 5, where field 186 includes a rate r_(i,j) and field 187 includes a queue length q_(i,j).

Source HNAs 17 _(S) allocate transmit bandwidth for outbound traffic transported via switch fabric 14 in proportion to the rates that received from the various destination HNAs 17 _(D). For example, because each source S_(i) of source HNAs 17 _(S) receives rates r_(i,j) from each of destinations D_(j) for i,jεN, source S_(i) may allocate the actual bandwidth it sends according to the following formula:

$\begin{matrix} {{{\hat{r}}_{i,j} = r_{i,j}}{if}{{{\sum\limits_{l = 1}^{N}\; r_{i,l}} \leq 1},{or}}{{\hat{r}}_{i,j} = \frac{r_{i,j}}{\sum\limits_{l = 1}^{N}\; r_{i,l}}}{if}{{{\sum\limits_{l = 1}^{N}\; r_{i,l}} > 1},}} & (4) \end{matrix}$ where {circumflex over (r)}_(i,j) denotes the actual bandwidth to be sent by source S_(i) to destination D_(j).

This allocates facilitates the goals of scalable, drop-free, end-to-end communications between HNAs, for the maximum rate that source S_(i) may send to destination D_(j) is r_(i,j), as determined by the destination D_(j) and reported to the source S_(i) in one of rate message 216. However, the source S_(i) may have insufficient transmit bandwidth to achieve r_(i,j), if the source S_(i) has other commitments to other destinations. Consider an example where there is a single source HNA 17A_(S) and two destination HNAs 17A_(D)-17B_(D), where both destination HNAs 17A_(D)-17B_(D) each indicate that they can accept a rate of 1 (i.e., they have no other source commitments, for no other sources intend to transmit to them as indicated in queue length messages 214). However, source HNA 17A_(S) is unable to deliver a rate of 2 because it is constrained to a rate of 1 (here representing the maximum transmit bandwidth or rate of injection I into switch fabric 14 for source HNA 17A_(S) for ease of description). Instead, source HNA 17A_(S) may proportionally allocate its transmit bandwidth among destination HNAs 17A_(D)-17B_(D) according to Equation (4). This results

$\hat{r} = \frac{1}{2}$ in to each of destination

HNAs 17A_(D)-17B_(D). Continuing the example and letting r_(A) be the rate indicated by destination HNA 17A_(D) and r_(B) be the rate indicated by destination HNA 17B_(D), source HNA 17A_(S) computes

${\hat{r}}_{A} = \frac{r_{A}}{r_{A} + r_{B}}$ and computes

${\hat{r}}_{B} = \frac{r_{B}}{r_{A} + r_{B}}$ according to Equation (4). This satisfies the injection constraint of bandwidth≦1 and the accepted ejection constraints of r_(A) and r_(B), for each of actual transmit bandwidth computed for each of these indicated rates is less that the rate itself because r_(A)+r_(B)>1. These results hold for examples in which the transmit and receive bandwidths of the HNAs 17 are of different bandwidths than 1.

This formulation leads to the following rules:

-   -   (1) A destination determines how to allocate bandwidth to         sources. No source may exceed its bandwidth allocated by a         destination (rate r-expressed in bytes/s (B/s)) to that         destination.     -   (2) A source may determine to send less than its allocated         bandwidth (rate r) to a given destination due to commitments to         other destinations.

Below is a summary of the notation scheme used herein:

-   -   (1) q_(i,j)=The number of bytes in a virtual output queue (VOQ)         in source S_(i) directed toward destination D_(j). The VOQs may         be another term for queue sets 212 in FIGS. 8-10B.     -   (2) r_(i,j)=The number of bytes/s that source S_(i) should send         to destination D_(j) as determined by the destination D_(j).     -   (3) {circumflex over (r)}_(i,j)=The number of bytes/s that         source S_(i) will actually send to destination D_(j) after         normalization by the source S_(i). Equation (4) is an example of         at least part of normalization.

The exchange of flow control information will now be described in further detail. Source HNAs send data packets to destination HNAs via switch fabric 14. First, flow control unit 149 of a source HNA may embed, in every packet sent from the source HNA to a destination HNA, the queue length for a queue of queue sets 212 associated with the destination HNA. Second, for every L bytes received by a destination HNA from a particular source HNA, the flow control unit 149 of the destination HNA returns an acknowledgement that include the rate r computed for that source HNA/destination HNA pair. In some examples, L=4 KB.

In order to (1) potentially reduce a time for a source HNA to ramp up to full speed, and (2) prevent deadlock in the case the L bytes or the acknowledgement messages are lost, flow control unit 149 of source HNAs periodically send flow control information to destination HNAs, and flow control unit 149 of destination HNAs periodically send flow control information to the source HNAs. For example, an administrator may configure a 2 Gbps channel out of a 200 Gbps switch fabric (or 1% of the overall bandwidth) for periodic flow control exchange of heartbeat packets, such as heartbeat packets 190 of FIG. 6.

The heartbeat packets 190 serve as keep-alives/heartbeats from source HNAs to destination HNAs and include queue length information q from sources to destinations, e.g., in queue length field 196. Heartbeat packets 190 also include rate information r from destinations to sources, e.g., in rate field 197, keeping in mind that every destination HNA is also a source HNA and vice-versa. Thus a single heartbeat packet 190 may include both queue length information from a source to a destination and rate information from that destination to that source. This has the salutary effect of amortizing the cost of heartbeat packet 190 overhead of an Ethernet and IP header.

The heartbeat packets 190 further include a timestamp. In some cases, heartbeat packets 190 may be forwarded at network priority, which is the lowest-latency/highest-priority. The timestamp may permit the HNAs to synchronize their clocks with a high degree of precision. The total size for a heartbeat packet 190 is described in Table 1, above, for HNAs that provide 4 priority channels. The Queue lengths and Permitted Rate field sizes (in bytes) for Table 1 will be smaller/larger for fewer/more priority channels. Table 1, for instance, shows 8 bytes allocated for Queue Length. As described in further detail below, for 16-bit granularity (i.e., n=16), 8 bytes provides space for 4 different Queue Lengths for corresponding priority values. The analysis for Permitted Rate is similar.

The total frame size of a heartbeat packet 190, per Table 1, may be 64 bytes=512 bits. As such, at 2 Gbps (the allocated channel bandwidth) this resolves to ˜4 M frames/s or 250 ns between successive heartbeat packets 190. Assuming that each HNA has a “span” of (i.e., is communicating with) ˜100 HNAs, then in the worst case the queue length and rate information may be stale by 250 ns*100=25 μs. HNAs do not need to send a heartbeat packet 190, however, if sufficient data is timely transmitted with piggybacked flow control information to meet the timing constraints laid out above. Thus, the flow control information may frequently be more current than 25 μs. Still further, even if a message including the flow control information is dropped in the switch fabric 14, such flow control information may be provided in the next packet.

FIG. 11 is a flowchart of an example mode of operation by host network accelerators to perform flow control according to techniques described in this disclosure. The example mode of operation 300 is described, for illustrative purposes, with respect to HNA 111 of computing device 100 operating as an HNA 17 of system 210 of FIGS. 7-10B. Each source S_(i) reports a queue length q_(i,j) (e.g., in bytes) to destination D_(j) for i,jεN. That is, flow control unit 149 of multiple instances of computing device 100 operating as source HNAs 17 _(S) generates or modifies packets to include queue lengths for queues 151 and transmits the corresponding queue lengths to the multiple instances of computing devices 100 operating as destination HNAs 17 _(D) (these may be the same HNAs as source HNAs 17 _(S)) (302). These packets may be included in or otherwise represented by queue length messages 214 of FIG. 10A. Each destination D_(j) determines and reports a rate r_(i,j) (in bytes/s, e.g.) to each source S_(i) for i,jεN. That is, using the reported queue lengths, flow control unit 149 of the computing devices 100 operating as destination HNAs 17 _(D) may determine rates by proportionally allocating receive bandwidth according to the queue length that represent an amount of data to be sent from each source HNA. The flow control unit 149 generate or modify packets to transmit the determined, corresponding rates to the multiple instances of computing devices 100 operating as source HNAs 17 _(S) (304). These packets may be included in or otherwise represented by rate messages 216. Each source S_(i) normalizes the rates to determine actual, normalized rates to satisfy the finite bandwidth constraint, B_(i) of the source S_(i). That is, flow control unit 149 of the computing devices 100 operating as source HNAs 17 _(S) proportionally allocate an overall transmit bandwidth according to the rates received from the various destinations (306). A source S_(i) determines the normalized rate {circumflex over (r)}_(i,j) from S_(i) to destination D_(j) as follows:

$\begin{matrix} {{\hat{r}}_{i,j} = \frac{r_{i,j}B_{i}}{\sum\limits_{j = 1}^{N}\; r_{i,j}}} & (5) \end{matrix}$ It is straightforward to show that Σ_(j=1) ^(N){circumflex over (r)}_(i,j)=B_(i). Scheduler 148 may apply the normalized rates determined by each HNA 111 for the various destination HNAs. In this way, computing devices 100 performing the mode of operation 300 may facilitate efficient allocation of the finite bandwidth of switch fabric 14 and drop-free, scalable end-to-end communication between source HNAs 17 _(S)/destination HNAs 17 _(D) pairs.

A number of examples of mode of operation 300 of FIG. 11 are now described. The following compact matrix notation is hereinafter used to provide an alternative representation of the queue lengths and the rates:

${Q = \begin{bmatrix} q_{11} & \ldots & q_{1N} \\ q_{N\; 1} & \ldots & q_{NN} \end{bmatrix}},{R = \begin{bmatrix} r_{11} & \ldots & r_{1N} \\ r_{N\; 1} & \ldots & r_{NN} \end{bmatrix}},{\hat{R} = {\begin{bmatrix} {\hat{r}}_{11} & \ldots & {\hat{r}}_{1N} \\ {\hat{r}}_{N\; 1} & \ldots & {\hat{r}}_{NN} \end{bmatrix}.}}$

Each source S_(i) is also a destination D_(j) and has bandwidth B_(i). In some examples, q_(i,j) is communicated as an n-bit value that is scaled according to a configured queue scale value, qu_(i) bytes. In other words, q_(i,j) may be measured in units of qu_(i) bytes, where qu_(i) may be a power of 2. In some cases, q_(i,j) may be included in field 186 of tunnel packet 155. In some examples, r_(i,j) is communicated as an k-bit value that is scaled according to a configured rate scale value, ru_(i) bps. In other words, r_(i,j) may be measured in units of ru_(i) bytes/s, where ru_(i) may be a power of 2. In some cases, r_(i,j) may be included in field 187 of tunnel packet 155. As an example computation of scaled ranges, for qu=64 B and n=16 bits, q_(min) is 0 and q_(max) is 2⁶*2¹⁶=2²²=>4 MB. As another example, for ru=16 MB/s=128 Mbps and k=16 bits, r_(min) is 0 and r_(max) is 128*2¹⁶>8 Tbps.

Scaling the queue length and rate values in this way, for each of HNAs 17, may facilitate an appropriate level of granularity for the ranges of these values for the various HNAs coupled to the switch fabric 14, according to the capabilities of the HNAs with respect to memory capacity, speed of the HNA device, and so forth. In some examples, configuration data 134 of HNA 111 of FIG. 4 stores qu_(i), ru_(i) for all iεN (i.e., for every HNA 17 coupled to the switch fabric 14). As described above, configuration data 134 may be set by a controller 22 or, in some cases, may be exchanged among HNAs 17 for storage to configuration data 134, where is it accessible to flow control unit 149 for the HNAs.

The description for flow control operations described herein may in some examples occur with respect to multiple priorities. Accordingly, field 187 may include a value for r_(i,j) for each of priorities 1−p, where p is a number of priorities offered by the HNAs 17 coupled to switch fabric 14. Likewise, field 186 may include a value for q_(i,j) for each of priorities 1−p. Example values of p include 2, 4, and 8, although other values are possible.

FIG. 12A is a block diagram illustrating an example system in which host network accelerators apply flow control according to techniques described herein. Each HNA from source HNAs 402A-402B and destination HNAs 402C-402F may represent examples of any of HNAs 17 described herein. Source HNAs 402A-402B and destination HNAs 402C-402F exchange queue length and rate values determined according to flow control techniques described herein in order to proportionally allocate bandwidth by the amounts of data to send and the capacities of destination HNAs 402C-402F to receive such data. Source HNA 402A has data to transmit to destination HNAs 402C, 402D and such data is being enqueued at a rate that meets or exceeds the maximum transmission rate of source HNA 402A. In other words, source HNA 402A is at maximum transmission capacity. Source HNA 402B has data to transmit to destination HNAs 402D, 402E, and 402F and such data is being enqueued at a rate that meets or exceeds the maximum transmission rate of source HNA 402B. In other words, source HNA 402B is at maximum transmission capacity.

For a first example determination with respect to FIG. 12A, it is assumed that all queues have the same queue length for simplicity. Setting the illustrated queue lengths to unit 1 for Q results in source HNAs 402A, 402B computing:

${R = \begin{bmatrix} 1 & {1/2} & 0 & 0 \\ 0 & {1/2} & 1 & 1 \end{bmatrix}},$ where the i=2 rows represent source HNAs 402A-402B and the j=4 columns represent destination HNAs 402C-402F. Because the columns sum to 1, the destination bandwidth constraints for destination HNAs 402C-402F are satisfied. Source HNAs 402A-402B normalize the rows, however, because the rows do not sum to 1:

$\hat{R} = {\begin{bmatrix} {1/1.5} & {0.5/1.5} & 0 & 0 \\ 0 & {0.5/2.5} & {1/2.5} & {1/2.5} \end{bmatrix} = {\begin{bmatrix} 0.66 & 0.33 & 0 & 0 \\ 0 & 0.2 & 0.4 & 0.4 \end{bmatrix}.}}$ This result is illustrated on FIG. 12A.

As a second example determination with respect to FIG. 12A, the queue lengths are set as:

$Q = {\begin{bmatrix} 1 & 0.6 & 0 & 0 \\ 0 & 0.4 & 1 & 1 \end{bmatrix}.}$

By computing Equation (3) for each element, destination HNAs 402C-402F determine R to be:

$R = \begin{bmatrix} 1 & 0.6 & 0 & 0 \\ 0 & 0.4 & 1 & 1 \end{bmatrix}$ and report to the source HNAs. By computing Equation (4) for each element, source HNAs 402A-402B determine {circumflex over (R)} to be:

$\hat{R} = {\begin{bmatrix} {1/1.6} & {0.6/1.6} & 0 & 0 \\ 0 & {0.4/2.4} & {1/2.4} & {1/2.4} \end{bmatrix} = {\begin{bmatrix} 0.625 & 0.375 & 0 & 0 \\ 0 & 0.16 & 0.416 & 0.416 \end{bmatrix}.}}$

FIG. 12B is a block diagram illustrating another example system in which host network accelerators apply flow control according to techniques described herein. FIG. 12B illustrates a conceptual topology for the HNAs of FIG. 12A for different queue lengths. Here, source HNA 402A has data to transmit to destination HNAs 402E, 402F; source HNA 402B has data to transmit to destination HNA 402E; source HNA 402C has data to transmit to destination HNA 402F; and source HNA 402D has data to transmit to destination HNA 402F. In this example, the receive bandwidths meet or exceed the maximum receive rate of the destination HNAs 402E, 402F.

Here, destination HNAs 402E, 402F compute R to be

$R = \begin{bmatrix} 0.3 & 0.25 \\ 0.7 & 0 \\ 0 & 0.5 \\ 0 & 0.25 \end{bmatrix}$

and report to the source HNAs. By computing Equation (4) for each element, source HNAs 402A-402D determine {circumflex over (R)} to be:

$\hat{R} = {\begin{bmatrix} 0.3 & 0.25 \\ 0.7 & 0 \\ 0 & 0.5 \\ 0 & 0.25 \end{bmatrix}.}$

R={circumflex over (R)} in this case, for the constraints are already satisfied and no normalization is in fact needed. That is, if and only if a row of the R matrix exceeds the transmission constraint is normalization needed for that row. Source HNAs 402A-402D may in some cases eschew normalization, therefore, if the row is within the transmission constraint for the source HNA. This is in accord with Equation (4).

By efficiently and fairly allocating receive and transmit bandwidths for HNAs operating at the edge of a physical network, e.g., switch fabric 14, a data center 10 provider may offer highly-scalable data center services to multiple tenants to make effective use of a large amount of internal network bandwidth. Coupling these services with flow control further provided by the HNAs, as described above, may facilitate multipoint-to-multipoint, drop-free, and scalable physical networks extended to virtual routers 128 of HNAs operating at the edges of the underlying physical network. Extending one or more virtual networks by virtual routers 128 to virtual machines 110 may consequently provide transparent, highly-reliable, L2/L3 switching to hosted user applications in a cost-effective manner due to the use of off-the-shelf component hardware within switch fabric 14.

FIG. 13 is a flowchart illustrating an example mode of operation for a host network accelerator to perform flow control according to techniques described in this disclosure. This example mode of operation 400 is described with respect to computing device 100 of FIG. 4 including HNA 111. Flow control unit 149 unit resets a timer for receiving data from a source HNA to a configurable reset value and starts the timer to await data from the source HNA (402). HNA 111 is coupled to a physical network, e.g., switch fabric 14, and is configured to implement virtual router 128 for one or more virtual networks over the physical network. HNA 111 receives packet data sourced by the source HNA (404). HNA 111 includes a configurable threshold that specifies an amount of data received that triggers an acknowledgement. Flow control unit 149 may buffer the received packet data to memory 153 and reorder any number of packets received according to sequence numbers embedded in the tunnel header, e.g., sequence number 189, for priorities of the packets.

In addition, if the received packet data meets or exceeds the configurable threshold (YES branch of 406) or the timer expires (YES branch of 408), then flow control unit 149 sends an acknowledgement message to the source HNA and resets the received data amount to zero (410). The acknowledgement message may be a standalone message such as a heartbeat message 190 or may be included within a tunnel packet as flow control information field 185 and sequence number field 189. If, however, the timer expires (YES branch of 408), then flow control unit 149 sends an acknowledgement message to the source HNA and resets the received data amount to zero (410) regardless of whether the HNA 111 received the threshold amount of data within the timer period (NO branch of 406). After sending an acknowledgement, the HNA resets and restarts the timer (402).

Various embodiments of the invention have been described. These and other embodiments are within the scope of the following claims. 

What is claimed is:
 1. A network system comprising: a switch fabric comprising a plurality of switches interconnected to form a physical network, wherein the switches provide connectionless packet-based switching for packets through the switch fabric; a plurality of servers interconnected by the switch fabric, wherein each of the servers comprises an operating environment executing one or more virtual machines in communication via the one or more virtual networks; and a plurality of host network accelerators, a host network accelerator of the host network accelerators comprising: a hardware-based virtual router configured to extend the one or more virtual networks to the operating environments of the virtual machines; and a flow control unit configured to allocate bandwidth among the plurality of host network accelerators based at least on an amount of data to be transmitted by each of the plurality of host network accelerators; wherein the flow control unit is further configured to send, to each other host network accelerator having data to send to the host network accelerator, a rate message that specifies a permitted transmission rate at which the other host network accelerator may send data to the host network accelerator, wherein the flow control unit is further configured to compute the permitted transmission rate at which the other host network accelerator may send data to the host network accelerator according to: ${r_{i} = \frac{q_{i}}{\sum\limits_{l = 1}^{N}\; q_{l}}},$ wherein r_(i) is the permitted transmission rate at which the other host network accelerator i may send data to the host network accelerator, wherein q_(i) specifies the amount of data to be sent by the other host network accelerator i, and wherein Σ_(i=1) ^(N)q_(l) specifies a total amount of data to be sent by the plurality of host network accelerators.
 2. The network system of claim 1, wherein the flow control unit is further configured to send a queue length message that specifies an amount of data to be sent by the host network accelerator to each other one of the host network accelerators if the amount of data to be sent is non-zero.
 3. The network system of claim 2, each host network accelerator further comprising configuration data specifying a queue scale value, wherein the queue length message includes a value that is scaled by the queue scale value to specify the amount of data.
 4. The network system of claim 1, wherein each host network accelerator of the host network accelerators further comprises: a scheduler configured to send data from the host network accelerator according to actual transmission rates for the other host network accelerators to be sent data, wherein the flow control unit is further configured to compute the actual transmission rates by normalizing permitted transmission rates for the other host network accelerators to be sent data.
 5. The network system of claim 4, wherein the flow control unit is further configured to compute the actual transmission rate at which a destination host network accelerator of the host network accelerators is to be sent data according to: ${{\hat{r}}_{j} = \frac{r_{j}B}{\sum\limits_{j = 1}^{N}\; r_{j}}},$ wherein B is finite transmission constraint of the host network accelerator, wherein r_(j) is the permitted transmission rate at which the destination host network accelerator j may send data to the host network accelerator, wherein {circumflex over (r)}_(j) is the actual transmission rate at which the destination host network accelerator of the host network accelerators is to be sent data, and wherein Σ_(j=1) ^(N)r_(j) is a total amount of data to be sent by the host network accelerators to the plurality of host network accelerators.
 6. The network system of claim 1, wherein the host network accelerator exchanges tunnel packets comprising an inner IP header, an outer IP header, a payload, and a sequence number that specifies an order of the tunnel packets in a tunnel packet flow from a source host network accelerator of the host network accelerators to the host network accelerator, and wherein the flow control unit is further configured to reorder tunnel packets for a virtual network of the virtual networks according to the sequence numbers of the tunnel packets received from the source host network accelerator of the host network accelerators.
 7. The network system of claim 1, wherein the flow control unit is further configured to allocate bandwidth among the plurality of host network accelerator on a per-priority basis for a plurality of priorities applied by the network system to tunnel packets traversing the switch fabric.
 8. The network system of claim 1, wherein each flow control units exchanges flow control information including the rate message with other ones of the flow control units of the host network accelerators, wherein each of the host network accelerators control transmission of the packets from the virtual router of the respective host network accelerator to other ones of the host network accelerators based on the respective flow control information received from each of other ones of the host network accelerators.
 9. The network system of claim 8, wherein the flow control information specifies: an amount of packet data for the tunnel packets that are pending in the outbound queues to be sent by the first host network accelerator to the second host network accelerator, the permitted rate at which the second host network accelerator is permitted to send tunnel packets to the first host network accelerator, and a timestamp specifying a time at which the first one of the host network accelerators sent flow control information.
 10. The network system of claim 8, wherein the flow control units of the host network accelerators exchange at least some of the flow control information by inserting the flow control information within outbound tunnel packets constructed by the virtual router when encapsulating outbound packets from the virtual machines.
 11. The network system of claim 10, wherein the flow control units of the host network accelerators insert the flow control information into an outer header of the outbound tunnel packets constructed by the virtual router when encapsulating outbound packets from the virtual machines.
 12. The network system of claim 8, wherein, for each pair of the host network accelerators in the network system, a first host network accelerator sends flow control information to a second host network accelerator by sending a heartbeat message carrying the flow control information when the first host network accelerator has not sent outbound tunnel packets to the second host network accelerator over the switch fabric for a threshold period of time.
 13. A method comprising: executing one or more virtual machines on a plurality of servers interconnected by a switch fabric, wherein a plurality of host network accelerators are positioned between the servers and the switch fabric; exchanging, with each of the host network accelerators, flow control information with other ones of the host network accelerator, wherein the flow control information includes rate messages that specifies a permitted transmission rate at which the other host network accelerators may send data, the permitted transmission rate determined according to: ${r_{i} = \frac{q_{i}}{\sum\limits_{l = 1}^{N}\; q_{l}}},$ wherein r_(i) is the permitted transmission rate at which the other host network accelerator i may send data to the respective host network accelerator, q_(i) specifies the amount of data to be sent by the other host network accelerator i and Σ_(l=1) ^(N)q_(l) specifies a total amount of data to be sent by the plurality of host network accelerators; receiving, with host network accelerators, outbound packets from the virtual machines, and constructing outbound tunnel packets in accordance with the overlay network to encapsulate the outbound packets; and controlling, with each of the host network accelerators, transmission of the outbound tunnel packets to other ones of the host network accelerators based on the rate messages received from each of the other ones of the host network accelerators.
 14. The method of claim 13, wherein exchanging flow control information comprises inserting, with the host network accelerators, the flow control information within the outbound tunnel packets constructed by the virtual router to encapsulate the outbound packets from the virtual machines.
 15. The method of claim 13, wherein exchanging flow control information comprises inserting, with the host network accelerators, the flow control information into an outer header of the outbound tunnel packets.
 16. The method of claim 13, wherein exchanging flow control information comprises sending, for each pair of the host network accelerators in the network system, flow control information from a first host network accelerator to a second host network accelerator, and wherein the flow control information specifies: an amount of packet data for the tunnel packets that are pending in outbound queues to be sent by the first host network accelerator to the second host network accelerator, the permitted transmission rate at which the second host network accelerator is permitted to send tunnel packets to the first host network accelerator, and a timestamp specifying a time at which the first one of the host network accelerators sent flow control information. 